Big data in psychiatry: multiomics, neuroimaging, computational modeling, and digital phenotyping.
作者信息
Ressler Kerry J, Williams Leanne M
机构信息
McLean Hospital and Harvard Medical School, Belmont, MA, 02478, USA.
Stanford University, Palo Alto, CA, USA.
出版信息
Neuropsychopharmacology. 2021 Jan;46(1):1-2. doi: 10.1038/s41386-020-00862-x. Epub 2020 Sep 12.
Abstract
摘要
相似文献
1
Big data in psychiatry: multiomics, neuroimaging, computational modeling, and digital phenotyping.
Neuropsychopharmacology. 2021 Jan;46(1):1-2. doi: 10.1038/s41386-020-00862-x. Epub 2020 Sep 12.
2
Big Data and Discovery Sciences in Psychiatry.
Adv Exp Med Biol. 2019;1192:3-15. doi: 10.1007/978-981-32-9721-0_1.
3
[Is Big Data the future of Psychiatry?].
Vertex. 2018 Sep;XXIX(141):379-387.
4
[Big Data and Psychiatry].
Vertex. 2018 Jan;29(137):29-33.
5
[Digitalized psychiatry : Critical considerations on a new paradigm].
Nervenarzt. 2021 Nov;92(11):1149-1154. doi: 10.1007/s00115-021-01188-9. Epub 2021 Sep 13.
6
Trends in big data analyses by multicenter collaborative translational research in psychiatry.
Psychiatry Clin Neurosci. 2022 Jan;76(1):1-14. doi: 10.1111/pcn.13311.
7
Big Data Begin in Psychiatry.
JAMA Psychiatry. 2020 Sep 1;77(9):967-973. doi: 10.1001/jamapsychiatry.2020.0954.
8
Incidental Findings from Deep Phenotyping Research in Psychiatry: Legal and Ethical Considerations.
Camb Q Healthc Ethics. 2022 Oct;31(4):482-486. doi: 10.1017/S0963180122000135.
9
Machine learning and big data in psychiatry: toward clinical applications.
Curr Opin Neurobiol. 2019 Apr;55:152-159. doi: 10.1016/j.conb.2019.02.006. Epub 2019 Apr 15.
10
Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2020 Aug;5(8):759-769. doi: 10.1016/j.bpsc.2019.11.015. Epub 2019 Dec 13.
引用本文的文献
1
Programming literacy for physician-scientists in the AI era.
PCN Rep. 2025 Aug 10;4(3):e70179. doi: 10.1002/pcn5.70179. eCollection 2025 Sep.
2
Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging.
Brain Sci. 2024 Dec 19;14(12):1278. doi: 10.3390/brainsci14121278.
3
Paradigm shift required for translational research on the brain.
Exp Mol Med. 2024 May;56(5):1043-1054. doi: 10.1038/s12276-024-01218-x. Epub 2024 May 1.
4
Enhancement of mediodorsal thalamus rescues aberrant belief dynamics in a mouse model with schizophrenia-associated mutation.
bioRxiv. 2024 Feb 14:2024.01.08.574745. doi: 10.1101/2024.01.08.574745.
5
Whole Person Modeling: a transdisciplinary approach to mental health research.
Discov Ment Health. 2023;3(1):16. doi: 10.1007/s44192-023-00041-6. Epub 2023 Aug 24.
6
Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including .
Neurobiol Stress. 2023 Jul 7;26:100555. doi: 10.1016/j.ynstr.2023.100555. eCollection 2023 Sep.
7
Altered brain dynamic in major depressive disorder: state and trait features.
Transl Psychiatry. 2023 Jul 17;13(1):261. doi: 10.1038/s41398-023-02540-0.
8
Returning Individual Research Results from Digital Phenotyping in Psychiatry.
Am J Bioeth. 2024 Feb;24(2):69-90. doi: 10.1080/15265161.2023.2180109. Epub 2023 May 8.
9
A neuro-computational social learning framework to facilitate transdiagnostic classification and treatment across psychiatric disorders.
Neurosci Biobehav Rev. 2023 Jun;149:105181. doi: 10.1016/j.neubiorev.2023.105181. Epub 2023 Apr 14.
10
Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe.
Transl Psychiatry. 2022 Oct 11;12(1):442. doi: 10.1038/s41398-022-02203-6.
Zotero 插件